Many information systems use tags and keywords to describe and annotate content. These allow for efficient organization and categorization of items, as well as facilitate relevant search queries. As such, the selected set of tags for an item can have a considerable effect on the volume of traffic that eventually reaches an item. In tagging systems where tags are exclusively chosen by an item's owner, who in turn is interested in maximizing traffic, a principled approach for assigning tags can prove valuable. In this paper we introduce the problem of optimal tagging, where the task is to choose a subset of tags for a new item such that the probability of browsing users reaching that item is maximized.

Your Out-of-Distribution Detection Method is Not Robust!

Link prediction is a key problem for network-structured data. Link prediction heuristics use some score functions, such as common neighbors and Katz index, to measure the likelihood of links. They have obtained wide practical uses due to their simplicity, interpretability, and for some of them, scalability. However, every heuristic has a strong assumption on when two nodes are likely to link, which limits their effectiveness on networks where these assumptions fail. In this regard, a more reasonable way should be learning a suitable heuristic from a given network instead of using predefined ones.

Google had said'What People Suggest' feature aimed to provide users with information from people with similar lived experiences. Google had said'What People Suggest' feature aimed to provide users with information from people with similar lived experiences. Google has dropped a new artificial intelligence search feature that gave users crowdsourced health advice from amateurs around the world. The company had said its launch of "What People Suggest", which provided tips from strangers, showed "the potential of AI to transform health outcomes across the globe". But Google has since quietly removed the feature, according to three people familiar with the decision.

The app reads your email inbox and your meeting calendar, then gives you a short audio summary. It can help you spend less time scrolling, but of course, there are privacy drawbacks to consider.

The UN estimates 2-5% of global GDP or $0.8 - $2.0 trillion dollars are laundered

Google is updating its AI search results to display links more prominently after facing criticism from publishers about reduced website traffic. PCWorld reports that the changes include clearer link icons on mobile and desktop, plus new pop-up windows showing source lists with article descriptions and images. These improvements aim to help users better discover web content while addressing concerns about AI Overviews potentially harming publisher visibility. Google is updating how links are displayed in Search's AI results, making them clearer and more prominent, reports The Verge . According to a social media post by Robby Stein, Vice President of Google Search, internal testing shows that the new AI results interface makes it easier for users to find content on the web. New on Search: In AI Overviews and AI Mode, groups of links will automatically appear in a pop-up as you hover over them on desktop, so you can jump right into a website to learn more.

Participants are not allowed to modify the training procedure.

One icy morning in February, nearly 200 people gathered in a church in downtown Richmond, Va. Most had awakened before dawn and driven in from across the state. There were Republicans and Democrats from rural farms and D.C. exurbs. They shared one goal: to fight back against AI development in a region with the largest concentration of data centers in the world. "Aren't you tired of being ignored by both parties, and having your quality of life and your environment absolutely destroyed by corporate greed?" state senator Danica Roem said, to a standing ovation. The activists--wearing homemade shirts with slogans like Boondoggle: Data Center in Botetourt County--marched to the state capitol and spent the day testifying to lawmakers about their fears over data centers' impacts on electricity, water, noise pollution, and more. Some lawmakers pledged to help: "You're getting a sh-t deal," state delegate John McAuliff told activists. The phrase captured many people's feelings toward the AI industry as a whole. Not much unites Americans these days.

Emerging ethical approaches have attempted to filter pretraining material, but such approaches have been ad hoc and failed to take context into account. We offer an approach to filtering grounded in law, which has directly addressed the tradeoffs in filtering material.